A New Study of Blind Deconvolution with Implicit Incorporation of Nonnegativity Constraints

Figure 5

Experimental results on Images 5-6 with Blur 1. Row 1, l-r for Image 5: the PSNR/SNR is lowered from 27.48/15.36 by 0.92/0.97 to 26.56/14.39 using Algorithm 1 but increased by 5.93/6.27 to 33.41/21.63 using Algorithm 2. Row 2, l-r for Image 6: the PSNR/SNR is increased by 11.6/11.96 from 20.19/12.11 to 31.79/24.07. Our model is capable of restoring many detailed features and sharpening edges. Several of the blood vessels become visible in (d) and very fine details can be distinguished in (g).

(a) True image

(b) Received data

(c) Result by Algorithm 1

(d) Result by Algorithm 2

(e) True image

(f) Received data

(g) Restored image